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authorGravatar Andy Getzendanner <durandal@google.com>2023-05-23 15:46:35 -0700
committerGravatar Copybara-Service <copybara-worker@google.com>2023-05-23 15:47:23 -0700
commit52747821480e6cadd8b27a0947af5d7933f9dfb4 (patch)
treecc42f6dc30fa8eca19047efd799c769ead59b6c4 /absl/random/exponential_distribution_test.cc
parent79ca5d7aad63973c83a4962a66ab07cd623131ea (diff)
Migrate most RAW_LOGs and RAW_CHECKs in tests to regular LOG and CHECK.
The non-RAW_ versions provide better output but weren't available when most of these tests were written. There are just a couple spots where RAW_ is actually needed, e.g. signal handlers and malloc hooks. Also fix a couple warnings in layout_test.cc newly surfaced because the optimizer understands CHECK_XX differently than INTERNAL_CHECK. PiperOrigin-RevId: 534584435 Change-Id: I8d36fa809ffdaae5a3813064bd602cb8611c1613
Diffstat (limited to 'absl/random/exponential_distribution_test.cc')
-rw-r--r--absl/random/exponential_distribution_test.cc44
1 files changed, 21 insertions, 23 deletions
diff --git a/absl/random/exponential_distribution_test.cc b/absl/random/exponential_distribution_test.cc
index 3c44d9ec..fb9a0d16 100644
--- a/absl/random/exponential_distribution_test.cc
+++ b/absl/random/exponential_distribution_test.cc
@@ -29,8 +29,8 @@
#include "gmock/gmock.h"
#include "gtest/gtest.h"
-#include "absl/base/internal/raw_logging.h"
#include "absl/base/macros.h"
+#include "absl/log/log.h"
#include "absl/numeric/internal/representation.h"
#include "absl/random/internal/chi_square.h"
#include "absl/random/internal/distribution_test_util.h"
@@ -115,9 +115,8 @@ TYPED_TEST(ExponentialDistributionTypedTest, SerializeTest) {
if (sample < sample_min) sample_min = sample;
}
if (!std::is_same<TypeParam, long double>::value) {
- ABSL_INTERNAL_LOG(INFO,
- absl::StrFormat("Range {%f}: %f, %f, lambda=%f", lambda,
- sample_min, sample_max, lambda));
+ LOG(INFO) << "Range {" << lambda << "}: " << sample_min << ", "
+ << sample_max << ", lambda=" << lambda;
}
std::stringstream ss;
@@ -219,17 +218,16 @@ bool ExponentialDistributionTests::SingleZTest(const double p,
const bool pass = absl::random_internal::Near("z", z, 0.0, max_err);
if (!pass) {
- ABSL_INTERNAL_LOG(
- INFO, absl::StrFormat("p=%f max_err=%f\n"
- " lambda=%f\n"
- " mean=%f vs. %f\n"
- " stddev=%f vs. %f\n"
- " skewness=%f vs. %f\n"
- " kurtosis=%f vs. %f\n"
- " z=%f vs. 0",
- p, max_err, lambda(), m.mean, mean(),
- std::sqrt(m.variance), stddev(), m.skewness,
- skew(), m.kurtosis, kurtosis(), z));
+ // clang-format off
+ LOG(INFO)
+ << "p=" << p << " max_err=" << max_err << "\n"
+ " lambda=" << lambda() << "\n"
+ " mean=" << m.mean << " vs. " << mean() << "\n"
+ " stddev=" << std::sqrt(m.variance) << " vs. " << stddev() << "\n"
+ " skewness=" << m.skewness << " vs. " << skew() << "\n"
+ " kurtosis=" << m.kurtosis << " vs. " << kurtosis() << "\n"
+ " z=" << z << " vs. 0";
+ // clang-format on
}
return pass;
}
@@ -274,16 +272,16 @@ double ExponentialDistributionTests::SingleChiSquaredTest() {
double p = absl::random_internal::ChiSquarePValue(chi_square, dof);
if (chi_square > threshold) {
- for (int i = 0; i < cutoffs.size(); i++) {
- ABSL_INTERNAL_LOG(
- INFO, absl::StrFormat("%d : (%f) = %d", i, cutoffs[i], counts[i]));
+ for (size_t i = 0; i < cutoffs.size(); i++) {
+ LOG(INFO) << i << " : (" << cutoffs[i] << ") = " << counts[i];
}
- ABSL_INTERNAL_LOG(INFO,
- absl::StrCat("lambda ", lambda(), "\n", //
- " expected ", expected, "\n", //
- kChiSquared, " ", chi_square, " (", p, ")\n",
- kChiSquared, " @ 0.98 = ", threshold));
+ // clang-format off
+ LOG(INFO) << "lambda " << lambda() << "\n"
+ " expected " << expected << "\n"
+ << kChiSquared << " " << chi_square << " (" << p << ")\n"
+ << kChiSquared << " @ 0.98 = " << threshold;
+ // clang-format on
}
return p;
}